Author: tony

  • 10 Tips for Agile Auditing and Budgeting in 2026

    10 Tips for Agile Auditing and Budgeting in 2026

    Actionable insights for to modernize Corporate Finance without creating chaos.

    Executive Summary

    • Replace annual plans with rolling forecasts and scenario analysis for agility.
    • Centralize budget and audit data for a single source of truth.
    • Automate data integration and reconciliation to eliminate manual risk.
    • Make variance analysis a proactive discipline.
    • Increase awareness of operational drivers without assuming causality.
    • Leverage AI-powered audit coverage for stronger controls and risk detection.
    • Treat budgeting as a living process that adapts continuously to the business.

    Dynamic, integrated processes in 2026

    As the second half of 2025 progresses, finance leaders are already laying the groundwork for the 2026 budget process. This critical period is the ideal time for CFOs, controllers, and FP&A teams to move beyond outdated methods. The traditional model of static annual plans, disconnected data, and reactive audits is no longer sufficient to navigate market volatility and rising compliance demands.

    This guide provides ten actionable tips designed to help you modernize your financial planning. By adopting rolling forecasts, centralizing data, and leveraging AI, you can build a more dynamic, integrated, and strategic budget process for 2026. Put these practices into motion now to reduce manual work, strengthen controls, and sharpen your company’s decision-making for the year ahead.

    1. Adopt Rolling Forecasts for Greater Agility
      Static annual budgets can quickly become outdated. Market changes like inflation shifts, demand surges, or supply disruptions can make them irrelevant. Rolling forecasts allow finance teams to adapt as conditions change. This flexibility improves resource allocation and supports faster, better-informed decisions.
    2. Create a Single Source of Truth (SSoT) for Financial Data
      Budgeting and auditing slow down when data is scattered across systems. Create one environment where actuals, forecasts, and audit results are stored and updated in real time. Connect your ERP, payroll, and GL feeds directly. This eliminates version control problems and ensures all stakeholders work from the same reliable numbers.
    1. Automate Data Collection and Reporting
      Manual data gathering wastes valuable time and increases errors. Direct integration from ERP, payroll, and GL systems into your planning and audit tools improves data accuracy. Real-time reporting allows for faster closes and frees analysts to focus on analysis instead of manual tasks.
    1. Start Simple, Then Expand Budget Reporting
      Too much complexity early in the process can discourage adoption. Begin with clear, high-level dashboards that focus on the most important metrics. Once teams are comfortable, add more detail and advanced reporting. This builds engagement and ensures data is actually used.
    1. Use AI to Handle Low-Impact Line Items, Focus Human Effort on Big Levers
      AI tools can quickly forecast most low-impact line items with accuracy. This saves your team hours of work on numbers that have little effect on results. The freed-up time can then be used to focus on the fewer, high-value items that drive revenue and cost outcomes. This targeted approach improves both speed and strategic impact.
    1. Make Variance Analysis a Weekly Discipline
      Waiting until the end of a quarter to review variances leads to missed opportunities. Weekly variance checks allow quicker interventions and better cost control. Over time, this cadence becomes a habit that strengthens financial discipline.
    1. Analyze External Drivers to Improve Forecast Accuracy
      Results are shaped by external forces such as commodity prices, exchange rates, interest rates, or competitor actions. These drivers should be tested, not assumed, to confirm their actual impact. Tools that merge external data with your financials can reveal which factors truly matter and how strong the link is. This avoids chasing noise and ensures budget and audit changes are based on evidence.
    2. Increase Awareness of Internal Drivers
      Budgets should reflect key internal factors that may influence results, such as labor hours, capacity, or seasonal demand patterns. These should be tested, not assumed, to verify their impact on performance. Linking internal metrics to financial outcomes with the right analytics helps focus attention on what truly drives change and avoid overestimating weak relationships.
    3. Integrate AI into Auditing and Forecasting for Full Coverage
      AI-powered audit tools can analyze all transactions, not just samples. They identify anomalies in real time and strengthen internal controls. On the planning side, AI forecasting instantly adjusts scenarios as new data becomes available. This gives finance leaders more control and faster insight.
    1. Make Budgeting Iterative, Not Annual
      Each budgeting cycle is a chance to improve. Capture lessons about what worked, what caused delays, and which assumptions missed the mark. Use this feedback to refine processes for the next cycle. Treat budgeting as a continuous capability that evolves with the business.

    Confidently guide the business forward

    The months before budget season are your opportunity to set the tone for the year ahead. By acting now, you can put in place the tools, processes, and habits that will make 2026 planning faster, more accurate, and more strategic. The goal is not just to get through the cycle. It is to turn budgeting and auditing into capabilities that actively guide the business forward.

    If your team is looking to improve accuracy, reduce manual work, and surface insights sooner, it may be time to explore solutions that combine forecasting and audit automation in one workflow. The right approach will keep you in control while giving you the speed and confidence you need for the year ahead.


    More about AuditFlow

  • Weekly Outlook: August 11, 2025

    Weekly Outlook: August 11, 2025

    After a week of broad based caution, the market appears to be entering a period of significant divergence. The monolithic “risk off” narrative is fracturing, replaced by a more complex environment where different asset classes are telling different stories. This week we explore a potential rebound in technology, a major commodity searching for a floor, and a currency trend driven by clear economic disparity.

    Technology Stocks Attempt a Rebound

    The tech heavy NASDAQ index is positioned for a notable rebound this week, signaling a potential shift back towards growth assets. Our models suggest that following the recent market wide pullback, investors are beginning to selectively buy into technology names, perhaps seeing value and renewed opportunity. This “dip buying” activity indicates a belief that the sector’s long term growth drivers remain intact, making it a key area to watch for signs of returning market confidence.

    Crude Oil Searches for a Stable Price

    Crude oil’s sharp price decline appears to be losing momentum, with our forecasts indicating a period of stabilization ahead. While concerns about a global demand slowdown continue to weigh on the market, the price has now fallen to a level that is attracting technical support. The narrative is shifting from “how far will it fall” to “where will it find a floor”. This suggests the market is now trying to balance demand fears with the reality of disciplined OPEC plus supply.

    The Transatlantic Economic Divide

    The U.S. dollar continues to strengthen against the Euro, a direct reflection of the widening economic divide between the two regions. Our models forecast a continued downtrend for the EURUSD pair. This is driven by the persistent economic weakness in the Eurozone, a story highlighted by recent data, compared to a more resilient U.S. economy. For currency markets, this divergence in growth trajectories is the most powerful story right now.

    Conclusion

    The key takeaway this week is the end of the market’s single story. A rebounding NASDAQ, a stabilizing oil price, and a falling Euro are not contradictory signals. They are evidence of a more mature, discerning market that is now differentiating between sectors, geographies, and asset classes. The path forward is no longer monolithic, requiring investors to analyze these divergent trends carefully.


    The content presented in this note is for informational purposes only and should not be construed as investment, financial, or trading advice. This analysis is generated from the output of Complete Intelligence’s proprietary artificial intelligence platform and does not constitute a personal recommendation. You should not base any investment decision solely on this material. Please consult with a qualified financial professional before making any investment decisions. Complete Intelligence is not liable for any actions taken based on the information provided herein.

  • Trump’s 100% levy on chips jolts markets

    Trump’s 100% levy on chips jolts markets

    https://www.channelnewsasia.com/listen/cna938-rewind/stock-take-today-trumps-100-levy-chips-jolts-markets-5281786

    On the daily markets analysis on Open For Business, Hairianto Diman and Susan Ng speak with Tony Nash, Founder & CEO, Complete Intelligence. 

  • Rethinking Risk in Real Time, How AI Is Transforming Audit Processes

    Rethinking Risk in Real Time, How AI Is Transforming Audit Processes

    Financial audits look backward. They rely on samples and manual checks. Today, finance teams need real-time visibility and full data coverage. This is where intelligent process automation is changing everything.

    AI tools now review every transaction, not just a few. They spot irregularities, compliance issues, and errors as they happen. This allows teams to respond quickly and reduce risk before problems grow.

    The Journal of Accountancy reports that firms using audit automation are improving both speed and accuracy. AI helps auditors focus on what matters by flagging unusual patterns. This adds value without replacing people. It simply gives them better tools.

    AuditFlow uses machine learning to track financial activity across systems. It catches things like duplicate payments or unusual timing in vendor transactions. Teams can act fast and stay in control.

    Accounting, Organizations and Society also notes how audit automation supports stronger internal controls. Every action is logged and traceable. This makes audit prep easier and more transparent.

    Audit teams that use automation shift from reaction to prevention. They spend less time digging through data and more time providing value-added services to their clients.

    If you want to bring AI into your audit workflow, AuditFlow provides transaction-level analysis and learns from your data. This saves time and improves accuracy.


    More about AuditFlow

  • A court could strike down Trump’s tariffs—and blow a hole in the U.S. budget

    Will new US tariffs be struck down in court? It could go either way, but the administration has options.

    https://www.msn.com/en-us/money/markets/a-court-could-strike-down-trump-s-tariffs-and-blow-a-hole-in-the-u-s-budget/ar-AA1JOVaw

    Tony Nash, founder and CEO of Complete Intelligence, expressed cautious concern about the potential removal of the “Liberation Day” tariffs, implemented by President Trump on April 2, 2025, under the International Emergency Economic Powers Act (IEEPA). While he doesn’t consider their immediate repeal likely, Nash highlighted that such a move is not inconceivable, given the tariffs’ role in triggering a global market crash and facing legal challenges, including a stay by the U.S. Court of Appeals.

  • China’s Drone Exports Under US Scrutiny Amid Russia War

    China’s Drone Exports Under US Scrutiny Amid Russia War

    https://www.ntd.com/chinas-drone-exports-under-us-scrutiny-amid-russia-war_1082511.htmlURL

    Tony Nash, founder and CEO of Complete Intelligence, expressed skepticism about the likelihood of the U.S. implementing secondary sanctions against China for buying Russian oil. While he doesn’t consider them probable, he emphasized that they are not inconceivable.

  • Weekly Outlook: Aug 4, 2025

    Weekly Outlook: Aug 4, 2025

    The narrative this week shifts from simple market jitters to tangible signs of a global economic slowdown. Key indicators across industrial commodities, major international equity markets, and crucial U.S. sectors are now flashing warning signs in unison. We examine three of these signals, each telling a piece of a larger story about mounting economic pressure.

    Dr. Copper’s Negative Diagnosis

    Copper is delivering a bearish diagnosis for the global economy. Our models show a continued downward trajectory for this week. As a critical input for everything from construction to electronics, falling copper demand is a direct and powerful signal of a slowdown in global manufacturing and industrial activity.

    Stress Mounts in Europe’s Industrial Heartland

    The economic pessimism is particularly acute in Europe, with Germany’s DAX index poised for a significant decline. As an index heavily weighted towards industrial and export oriented companies, the DAX is exceptionally sensitive to global trade and energy costs. The strong negative forecast suggests that investors are bracing for a period of severe economic stress in Europe’s largest economy.

    U.S. Financials Feel the Pressure

    The story of a slowdown is not confined to overseas markets or raw materials. The U.S. financial sector is also showing signs of strain. Our models point to a sharp drop for financial stocks. This reflects growing investor concern that a cooling economy will translate into weaker loan demand and deteriorating credit quality. With a flattening yield curve also pressuring bank profitability, the sector faces a challenging outlook.

    Conclusion

    The key takeaway this week is the correlated nature of the warning signs. The weakness is not isolated. When industrial metals, a major European equity index, and the U.S. financial sector are all pointing lower, it paints a cohesive picture of a broad based global slowdown. Investors are likely to shift their focus towards capital preservation as these concerns move from the background to the forefront.


    The content presented in this note is for informational purposes only and should not be construed as investment, financial, or trading advice. This analysis is generated from the output of Complete Intelligence’s proprietary artificial intelligence platform and does not constitute a personal recommendation. You should not base any investment decision solely on this material. Please consult with a qualified financial professional before making any investment decisions. Complete Intelligence is not liable for any actions taken based on the information provided herein.

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  • How Should FP&A Be Using AI?

    How Should FP&A Be Using AI?

    Key takeaways

    • AI gives FP&A teams more time to think, not just calculate

    • Small wins like faster variance analysis build confidence without major disruption

    • FP&A shouldn’t fear AI—like Excel before it, it’s a tool to amplify expertise

    • Augmentation, not automation, is the right entry point for AI in finance

    • Adoption starts with time savings, not transformation

    Why FP&A Is Naturally Cautious About AI

    FP&A teams are often the most trusted thinkers in any organization. They’ve built their credibility on precision, self-reliance, and a deep command of financial models. And they’ve done it largely with Excel, ERP exports, and old-school logic.

    So when AI shows up and suggests doing the thinking for them, there’s bound to be hesitation.

    Unlike calculators or spreadsheets—where every formula can be inspected—AI can feel like handing over the wheel. Even if the destination is the same, not knowing exactly how you got there can be unsettling.

    Start Small, Prove Value Early

    AI adoption in finance shouldn’t start with a vision of mass automation. Instead, it should start like Excel once did: as a productivity tool. The best AI deployments begin with narrow, measurable wins that make an analyst’s life easier.

    Examples:

    • Auto-clean ERP data to eliminate rework
    • Suggest variance drivers without digging through a dozen pivot tables
    • Generate base-case forecast scenarios with one click
    • Allow CFOs to ask questions like “What’s driving margin compression?” and get answers in seconds

     

    These aren’t revolutionary. But they’re time-saving, trust-building, and momentum-generating.

    A Practical Path for FP&A Teams

    1. Pick a visible pain point—think recurring manual work like monthly forecast updates
    2. Implement a narrow AI tool that complements your workflow (not overhauls it)
    3. Compare results side by side with the old method
    4. Measure time saved, not just accuracy improved
    5. Share wins across the team to shift the mindset from threat to value

    The goal isn’t to turn finance into data scientists. It’s to free up time so smart people can do smarter work.

    What Changes – and What Doesn’t

    AI doesn’t change the fundamental value of FP&A: being trusted advisors to leadership. What it changes is how quickly and confidently they can deliver insight. The best analysts won’t be the ones who write the best macros. They’ll be the ones who can explain the story the AI is telling—and challenge it when necessary.

    In short, AI isn’t the driver. It’s cruise control. FP&A is still at the wheel.

    FAQs

    Q1: Will AI replace FP&A roles?
    No. It replaces repetitive tasks—data prep, reforecasting, reconciliations—not the thinking, interpretation, or business judgment.

    Q2: What’s the first thing we should automate?
    Look for low-risk, high-friction tasks: data cleanup, variance flagging, or baseline forecast generation.

    Q3: Do we have to change platforms or workflows?
    Not at all. Good AI tools integrate directly into your current environment—Excel, Power BI, or ERP dashboards.


    More about AuditFlow

  • No Cut, But Fed Faces Internal Tug-of-War

    No Cut, But Fed Faces Internal Tug-of-War

    https://www.bfm.my/content/podcast/no-cut-but-fed-faces-internal-tug-of-war

    Tony Nash, CEO of Complete Intelligence, analyses the Fed’s July rate pause, shedding light on emerging divisions within the committee and the underlying forces behind the robust 2QGDP performance that came in at 3%.

  • What Are the Best AI Tools to Detect Financial Anomalies During Audits?

    What Are the Best AI Tools to Detect Financial Anomalies During Audits?

    In a nutshell

    • AI detects 90%+ of high-risk transactions humans miss

    • Real-time flagging means continuous auditing, not annual sampling

    • Leading platforms: AuditFlow, MindBridge, AppZen, HighRadius

    • Typical time saved per audit: hundreds staff-hours on a $1B revenue company

    • Integrates with SAP, Oracle, Microsoft Dynamics out of the box

    The anomaly-detection landscape (2025)

    Vendor Primary strength Ideal user
    AuditFlow Deep ERP, SCM, CRM analysis & explainable ML Small, mid-market & large enterprises
    MindBridge Risk scoring on GL & sub-ledgers Gartner Audit/insurance firms
    AppZen AI spend monitoring & T&E compliance Global shared-service centers
    HighRadius Cash-flow & AR anomaly alerts Stack AI Treasury & AR teams

    How anomaly-detection AI works

    1. Data ingestion: Pulls millions of GL lines or AP invoices.

    2. Feature engineering: Creates thousands of statistical & relational features (e.g., Benford scores, employee-vendor matches).

    3. ML & rules engine: Unsupervised clustering plus business-rule overlays catch both novel and known risks.

    4. Risk scoring & workflow: Items above threshold route to accountants for review.

    Implementation tips

    • Start small by importing the last two to four years of accounts data.

    • Embed in workflow so accountants review in the same UI.
    • Iterate monthly; models self-learn as new risks emerge.

    • [Optional] Tune thresholds with historical anomaly or outlier cases.

    Value metrics

    • % high-risk items auto-cleared vs. false positives

    • Manual testing hours eliminated

    • Detected dollar value and number of accounts of misstatements

    • Reduced internal audit costs

    FAQs

    1. Will AI replace auditors?
      No; it augments them by prioritizing risky items.

    2. How long to deploy?
      Most teams see first results within two weeks after data connection.

    3. Can I customize rules?
      Yes. AuditFlow’s rule builder supports custom thresholds and regex check


    More about AuditFlow